{"id":"https://openalex.org/W4294659439","doi":"https://doi.org/10.18293/seke2022-167","title":"Towards Lightweight Detection of Design Patterns in Source Code","display_name":"Towards Lightweight Detection of Design Patterns in Source Code","publication_year":2022,"publication_date":"2022-07-01","ids":{"openalex":"https://openalex.org/W4294659439","doi":"https://doi.org/10.18293/seke2022-167"},"language":"en","primary_location":{"id":"doi:10.18293/seke2022-167","is_oa":true,"landing_page_url":"http://doi.org/10.18293/seke2022-167","pdf_url":"https://doi.org/10.18293/seke2022-167","source":{"id":"https://openalex.org/S4220650826","display_name":"Proceedings/Proceedings of the ... International Conference on Software Engineering and Knowledge Engineering","issn_l":"2325-9000","issn":["2325-9000","2325-9086"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Conferences on Software Engineering and Knowledge Engineering","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://doi.org/10.18293/seke2022-167","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5003728826","display_name":"Jeffy Jahfar Poozhithara","orcid":"https://orcid.org/0000-0002-4692-3586"},"institutions":[{"id":"https://openalex.org/I4210138624","display_name":"University of Washington Bothell","ror":"https://ror.org/02ygzhr13","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701","https://openalex.org/I4210138624"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Jeffy Jahfar Poozhithara","raw_affiliation_strings":["University of Washington Bothell, WA, USA"],"affiliations":[{"raw_affiliation_string":"University of Washington Bothell, WA, USA","institution_ids":["https://openalex.org/I4210138624"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086046599","display_name":"Hazeline U. Asuncion","orcid":null},"institutions":[{"id":"https://openalex.org/I4210138624","display_name":"University of Washington Bothell","ror":"https://ror.org/02ygzhr13","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701","https://openalex.org/I4210138624"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hazeline Asuncion","raw_affiliation_strings":["University of Washington Bothell, WA, USA"],"affiliations":[{"raw_affiliation_string":"University of Washington Bothell, WA, USA","institution_ids":["https://openalex.org/I4210138624"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061303282","display_name":"Brent Lagesse","orcid":"https://orcid.org/0000-0002-0996-408X"},"institutions":[{"id":"https://openalex.org/I4210138624","display_name":"University of Washington Bothell","ror":"https://ror.org/02ygzhr13","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701","https://openalex.org/I4210138624"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Brent Lagesse","raw_affiliation_strings":["University of Washington Bothell, WA, USA"],"affiliations":[{"raw_affiliation_string":"University of Washington Bothell, WA, USA","institution_ids":["https://openalex.org/I4210138624"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5003728826"],"corresponding_institution_ids":["https://openalex.org/I4210138624"],"apc_list":null,"apc_paid":null,"fwci":0.6063,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.73134252,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":"2022","issue":null,"first_page":"95","last_page":"99"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10260","display_name":"Software Engineering Research","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10260","display_name":"Software Engineering Research","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12034","display_name":"Digital and Cyber Forensics","score":0.9962000250816345,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10639","display_name":"Advanced Software Engineering Methodologies","score":0.9955999851226807,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8560622334480286},{"id":"https://openalex.org/keywords/unified-modeling-language","display_name":"Unified Modeling Language","score":0.7322292327880859},{"id":"https://openalex.org/keywords/class-diagram","display_name":"Class diagram","score":0.6855079531669617},{"id":"https://openalex.org/keywords/source-code","display_name":"Source code","score":0.662950336933136},{"id":"https://openalex.org/keywords/sequence-diagram","display_name":"Sequence diagram","score":0.6099294424057007},{"id":"https://openalex.org/keywords/software-design-pattern","display_name":"Software design pattern","score":0.5705521702766418},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.5693944096565247},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.5426722764968872},{"id":"https://openalex.org/keywords/sparql","display_name":"SPARQL","score":0.5386376976966858},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.4761371910572052},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.42264288663864136},{"id":"https://openalex.org/keywords/object-oriented-design","display_name":"Object-oriented design","score":0.41463541984558105},{"id":"https://openalex.org/keywords/object-oriented-programming","display_name":"Object-oriented programming","score":0.29606562852859497},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.27697044610977173},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.19330257177352905},{"id":"https://openalex.org/keywords/rdf","display_name":"RDF","score":0.15144768357276917},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.14586061239242554},{"id":"https://openalex.org/keywords/software","display_name":"Software","score":0.1078559160232544},{"id":"https://openalex.org/keywords/semantic-web","display_name":"Semantic Web","score":0.0895361602306366}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8560622334480286},{"id":"https://openalex.org/C145644426","wikidata":"https://www.wikidata.org/wiki/Q169411","display_name":"Unified Modeling Language","level":3,"score":0.7322292327880859},{"id":"https://openalex.org/C202446494","wikidata":"https://www.wikidata.org/wiki/Q664166","display_name":"Class diagram","level":4,"score":0.6855079531669617},{"id":"https://openalex.org/C43126263","wikidata":"https://www.wikidata.org/wiki/Q128751","display_name":"Source code","level":2,"score":0.662950336933136},{"id":"https://openalex.org/C153185123","wikidata":"https://www.wikidata.org/wiki/Q1391624","display_name":"Sequence diagram","level":4,"score":0.6099294424057007},{"id":"https://openalex.org/C146054899","wikidata":"https://www.wikidata.org/wiki/Q181156","display_name":"Software design pattern","level":3,"score":0.5705521702766418},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.5693944096565247},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.5426722764968872},{"id":"https://openalex.org/C41009113","wikidata":"https://www.wikidata.org/wiki/Q54871","display_name":"SPARQL","level":4,"score":0.5386376976966858},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.4761371910572052},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.42264288663864136},{"id":"https://openalex.org/C53073257","wikidata":"https://www.wikidata.org/wiki/Q7075021","display_name":"Object-oriented design","level":3,"score":0.41463541984558105},{"id":"https://openalex.org/C73752529","wikidata":"https://www.wikidata.org/wiki/Q79872","display_name":"Object-oriented programming","level":2,"score":0.29606562852859497},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.27697044610977173},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.19330257177352905},{"id":"https://openalex.org/C147497476","wikidata":"https://www.wikidata.org/wiki/Q54872","display_name":"RDF","level":3,"score":0.15144768357276917},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.14586061239242554},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.1078559160232544},{"id":"https://openalex.org/C2129575","wikidata":"https://www.wikidata.org/wiki/Q54837","display_name":"Semantic Web","level":2,"score":0.0895361602306366}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18293/seke2022-167","is_oa":true,"landing_page_url":"http://doi.org/10.18293/seke2022-167","pdf_url":"https://doi.org/10.18293/seke2022-167","source":{"id":"https://openalex.org/S4220650826","display_name":"Proceedings/Proceedings of the ... International Conference on Software Engineering and Knowledge Engineering","issn_l":"2325-9000","issn":["2325-9000","2325-9086"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Conferences on Software Engineering and Knowledge Engineering","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18293/seke2022-167","is_oa":true,"landing_page_url":"http://doi.org/10.18293/seke2022-167","pdf_url":"https://doi.org/10.18293/seke2022-167","source":{"id":"https://openalex.org/S4220650826","display_name":"Proceedings/Proceedings of the ... International Conference on Software Engineering and Knowledge Engineering","issn_l":"2325-9000","issn":["2325-9000","2325-9086"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Conferences on Software Engineering and Knowledge Engineering","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320310094","display_name":"University of Washington","ror":"https://ror.org/00cvxb145"},{"id":"https://openalex.org/F4320334502","display_name":"University of Washington Bothell","ror":"https://ror.org/02ygzhr13"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4294659439.pdf","grobid_xml":"https://content.openalex.org/works/W4294659439.grobid-xml"},"referenced_works_count":21,"referenced_works":["https://openalex.org/W111964190","https://openalex.org/W836087506","https://openalex.org/W1649645444","https://openalex.org/W1971144326","https://openalex.org/W1992259680","https://openalex.org/W2033185920","https://openalex.org/W2035180065","https://openalex.org/W2146983725","https://openalex.org/W2153678464","https://openalex.org/W2153853754","https://openalex.org/W2182711985","https://openalex.org/W2764017292","https://openalex.org/W2958497445","https://openalex.org/W3005763145","https://openalex.org/W3014848711","https://openalex.org/W3020959566","https://openalex.org/W4253790686","https://openalex.org/W6648748051","https://openalex.org/W6680083286","https://openalex.org/W6682515927","https://openalex.org/W6765264113"],"related_works":["https://openalex.org/W1972265361","https://openalex.org/W2613578027","https://openalex.org/W2979791963","https://openalex.org/W2120868292","https://openalex.org/W2509736971","https://openalex.org/W83606274","https://openalex.org/W2385994552","https://openalex.org/W2583528408","https://openalex.org/W2499966135","https://openalex.org/W2071217003"],"abstract_inverted_index":{"Identifying":[0],"which":[1],"design":[2,27,52,99],"patterns":[3,28,53,86,100],"exist":[4],"in":[5,87],"source":[6,13,89],"code":[7,14],"helps":[8],"maintenance":[9],"engineers":[10],"better":[11,108],"understand":[12],"and":[15,44,55,77],"determine":[16],"if":[17],"new":[18],"requirements":[19],"can":[20,96,113,120],"be":[21,121],"satisfied.":[22],"Automated":[23],"techniques":[24],"for":[25,41,67,117],"finding":[26],"generally":[29],"require":[30],"much":[31],"time":[32],"to":[33,38,47,50,84],"label":[34],"training":[35],"datasets":[36],"or":[37,107],"specify":[39],"rules/queries":[40],"each":[42],"pattern,":[43],"is":[45,105],"difficult":[46],"extend":[48],"support":[49],"secure":[51],"(SDPs)":[54],"combination":[56],"patterns.":[57],"To":[58],"address":[59],"these":[60],"challenges,":[61],"we":[62],"introduce":[63],"PatternScout,":[64],"a":[65],"technique":[66],"automatic":[68],"generation":[69],"of":[70],"SPARQL":[71],"queries":[72,81,116],"from":[73],"UML":[74,124],"Class":[75,125],"diagrams":[76],"Sequence":[78],"diagrams.":[79,126],"These":[80],"are":[82],"used":[83],"detect":[85,97],"the":[88],"code.":[90],"Our":[91],"results":[92],"indicate":[93],"that":[94,104,119],"PatternScout":[95],"object-oriented":[98],"(OODP)":[101],"with":[102],"accuracy":[103],"comparable":[106],"than":[109],"existing":[110],"techniques.":[111],"It":[112],"also":[114],"generate":[115],"SDPs":[118],"represented":[122],"as":[123]},"counts_by_year":[{"year":2023,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}